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Axelon Services Corporation
Data and Analytics EngineerAxelon Services Corporation • Montreal, QC
Data and Analytics Engineer

Data and Analytics Engineer

Axelon Services Corporation • Montreal, QC
30+ days ago
Job type
  • Full-time
Job description

Summary:
  • Location: Montreal (Day onboarding onsite / in office presence x week)
  • Experience Level: Level (advanced): - years
Responsibilities:
  • Hands-on development and data pipeline creation.
  • Collaborate with stakeholders across the organization.
  • Contribute to the evolution of the current strategy.
  • Provide specialist data analysis and expertise for decision-making and business insights.
  • Craft data pipelines and implement data models.
  • Optimize data processes for improved accuracy and accessibility.
  • Apply machine learning and AI-based techniques.
Requirements:
  • Experience in data engineering or a related field.
  • Design and implement data pipelines and workflows.
  • Develop dashboards and reports using Power BI and Tableau.
  • Collaborate with stakeholders to translate requirements into data models and visualizations.
  • Utilize Dataiku and other analytics platforms for data preparation and advanced analytics.
  • Ensure data quality, integrity, and security.
  • Optimize performance of dashboards and queries for large datasets.
  • Stay updated on emerging trends in data analytics and visualization technologies.
  • Experience with Snowflake and Databricks (at least one).
  • Knowledge of database systems (SQL and NoSQL).
  • Experience with Snowflake Cortex is appreciated.
  • Familiarity with cloud platforms (AWS, Azure) and their data services.
  • Experience using Jupyter notebooks for data exploration, analysis, and visualization.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a geographically distributed team.
Required Skills:
  • Integrity and ownership, good team player.
  • Ability to work under time and resource dependencies and constraints.
  • Ability to find simple and effective solutions.
  • High degree of motivation to expand technical and business knowledge.
Preferred Skills:
  • Familiarity with programming skills in Python.
  • Experience with data warehousing concepts and technologies.
  • Familiarity with data governance and security best practices.
  • Experience with Agile methodologies.
  • Familiarity with data catalog and metadata management tools.
  • Familiarity with CI/CD pipelines and DevOps practices.
Benefits:
  • Opportunity to work in a diverse and innovative environment.
  • Engagement with cutting-edge data and analytics technologies.
  • Collaborative and supportive team culture.

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Data and Analytics Engineer • Montreal, QC

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